The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 05, 2024

Filed:

Jul. 05, 2022
Applicant:

Meta Platforms, Inc., Menlo Park, CA (US);

Inventors:

Zhe Liu, Sunnyvale, CA (US);

Ke Li, Baltimore, MD (US);

Fuchun Peng, Palo Alto, CA (US);

Assignee:

Meta Platforms, Inc., Menlo Park, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/16 (2006.01); G10L 15/06 (2013.01); G10L 15/30 (2013.01); G10L 15/32 (2013.01);
U.S. Cl.
CPC ...
G10L 15/16 (2013.01); G10L 15/063 (2013.01); G10L 15/30 (2013.01); G10L 15/32 (2013.01);
Abstract

In one embodiment, a method includes accessing a decoded hypothesis corresponding to an utterance, computing a predicted probability of observing each token in the decoded hypothesis by having a local first machine-learning model process the decoded hypothesis, computing a confidence score for each token in the decoded hypothesis by having a second machine-learning model process the decoded hypothesis, where the confidence score indicates a degree of confidence for the token to be observed at its position, calculating a loss for the computed predicted probabilities of observing tokens in the decoded hypothesis based on the computed confidence scores, and updating parameters of the local first machine-learning model based on the calculated loss.


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